def pmt_to_dict(p): d = dict() items = pmt.dict_items(p) for i in range(pmt.length(items)): pair = pmt.nth(i, items) k = pmt.car(pair) v = pmt.cdr(pair) d[pmt_to_python(k)] = pmt_to_python(v) return d
type_mappings = ( #python type, check pmt type, to python, from python (None, pmt.is_null, lambda x: None, lambda x: PMT_NIL), (bool, pmt.is_bool, pmt.to_bool, pmt.from_bool), (str, pmt.is_symbol, pmt.symbol_to_string, pmt.string_to_symbol), (unicode, lambda x: False, None, lambda x: pmt.string_to_symbol(x.encode('utf-8'))), (int, pmt.is_integer, pmt.to_long, pmt.from_long), (long, pmt.is_uint64, lambda x: long(pmt.to_uint64(x)), pmt.from_uint64), (float, pmt.is_real, pmt.to_double, pmt.from_double), (complex, pmt.is_complex, pmt.to_complex, pmt.from_complex), (tuple, pmt.is_tuple, pmt_to_tuple, pmt_from_tuple), (list, pmt.is_vector, pmt_to_vector, pmt_from_vector), (dict, pmt.is_dict, pmt_to_dict, pmt_from_dict), (tuple, pmt.is_pair, lambda x: (pmt_to_python(pmt.car(x)), pmt_to_python(pmt.cdr(x))), lambda x: pmt.cons(python_to_pmt(x[0]), python_to_pmt(x[1]))), (numpy.ndarray, pmt.is_uniform_vector, uvector_to_numpy, numpy_to_uvector), ) def pmt_to_python(p): for python_type, pmt_check, to_python, from_python in type_mappings: if pmt_check(p): try: return to_python(p) except: pass raise ValueError("can't convert %s type to pmt (%s)" % (type(p), p))
else: raise ValueError("unsupported uvector data type for conversion to numpy array %s"%(uvector)) type_mappings = ( #python type, check pmt type, to python, from python (None, pmt.is_null, lambda x: None, lambda x: PMT_NIL), (bool, pmt.is_bool, pmt.to_bool, pmt.from_bool), (str, pmt.is_symbol, pmt.symbol_to_string, pmt.string_to_symbol), (unicode, lambda x: False, None, lambda x: pmt.string_to_symbol(x.encode('utf-8'))), (int, pmt.is_integer, pmt.to_long, pmt.from_long), (long, pmt.is_uint64, lambda x: long(pmt.to_uint64(x)), pmt.from_uint64), (float, pmt.is_real, pmt.to_double, pmt.from_double), (complex, pmt.is_complex, pmt.to_complex, pmt.from_complex), (tuple, pmt.is_tuple, pmt_to_tuple, pmt_from_tuple), (list, pmt.is_vector, pmt_to_vector, pmt_from_vector), (dict, pmt.is_dict, pmt_to_dict, pmt_from_dict), (tuple, pmt.is_pair, lambda x: (pmt_to_python(pmt.car(x)), pmt_to_python(pmt.cdr(x))), lambda x: pmt.cons(python_to_pmt(x[0]), python_to_pmt(x[1]))), (numpy.ndarray, pmt.is_uniform_vector, uvector_to_numpy, numpy_to_uvector), ) def pmt_to_python(p): for python_type, pmt_check, to_python, from_python in type_mappings: if pmt_check(p): try: return to_python(p) except: pass raise ValueError("can't convert %s type to pmt (%s)"%(type(p),p)) def python_to_pmt(p): for python_type, pmt_check, to_python, from_python in type_mappings: if python_type is None: